- Graph Convolutional Matrix Completion (KDD'18)
- Graph Convolutional Neural Networks for Web-Scale Recommender Systems (KDD'18)
- Spectral collaborative filtering (RecSys'18)
- Neural Graph Collaborative Filtering (SIGIR'19)
- STAR-GCN: stacked and reconstructed graph convolutional networks for recommender systems (IJCAI'19)
- Hierarchical Representation Learning for Bipartite Graphs (IJCAI'19)
- MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video (MM'19)
- Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback (MM'20)
- Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation (SIGIR'20)
- Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach (AAAI'20)
- LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (SIGIR'20)
- Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach (SIGIR'20)
- Inductive Matrix Completion Based on Graph Neural Networks (ICLR'20)
- Binarized collaborative filtering with distilling graph convolutional networks (IJCAI'19)
- Learning to Hash with Graph Neural Networks for Recommender Systems (WWW'19)
- Multi-Component Graph Convolutional Collaborative Filtering (AAAI'20)
- DisenHAN - Disentangled Heterogeneous Graph Attention Network for Recommendation (CIKM'20)
- Disentangled Graph Collaborative Filtering (SIGIR'20)
- GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems (CIKM'20)
- Multi-behavior Recommendation with Graph Convolutional Networks (SIGIR'20)
- A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks (KDD'20)
- Spectrum-enhanced Pairwise Learning to Rank (WWW'19)
- Dual Channel Hypergraph Collaborative Filtering (KDD'20)
- Gemini: A Novel and Universal Heterogeneous Graph Information Fusing Framework for Online Recommendations (KDD'20)
- Graph Enhanced Representation Learning for News Recommendation (WWW'20)
- Neighbor Interaction Aware Graph Convolution Networks for Recommendation (SIGIR'20)
- Deoscillated Graph Collaborative Filtering (arxiv'20)
- Graph Convolution Machine for Context-aware Recommender System (arxiv'20)
- A Neural Influence Diffusion Model for Social Recommendation (SIGIR'19)
- Graph Neural Networks for Social Recommendation (WWW'19)
- Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems (WWW'19)
- DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation (TKDE'20)
- A Heterogeneous Graph Neural Model for Cold-start Recommendation (SIGIR'20)
- Enhancing Social Recommendation with Adversarial Graph Convolutional Networks (TKDE'20)
- Knowledge Graph Convolutional Networks for Recommender Systems (WWW'19)
- Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems (KDD'19)
- KGAT: Knowledge Graph Attention Network for Recommendation (KDD'19)
- IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation (KDD'19)
- Attentive Knowledge Graph Embedding for Personalized Recommendation
- Multi-modal Knowledge Graphs for Recommender Systems (CIKM'20)
- TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation (CIKM'20)
- A^ 2-GCN: An Attribute-aware Attentive GCN Model for Recommendation (TKDE'20)
- ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation (SIGIR'20)
- Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View (SIGIR'20)
- Quaternion-Based Knowledge Graph Network for Recommendation (MM'20)
- Session-based Recommendation with Graph Neural Networks (AAAI'19)
- Graph Contextualized Self-Attention Network for Session-based Recommendation (IJCAI'19)
- NISER: Normalized Item and Session Representations to Handle Popularity Bias (CIKM'19)
- TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation (SIGIR'20)
- Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks (CIKM'19)
- Memory Augmented Graph Neural Networks for Sequential Recommendation (AAAI'20)
- Beyond clicks: Modeling multi-relational item graph for session-based target behavior prediction (WWW'20)
- Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation (TKDE'19)
- Star Graph Neural Networks for Session-based Recommendation (CIKM'20)
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation (KDD'20)
- GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation (SIGIR'20)
- Global Context Enhanced Graph Neural Networks for Session-based Recommendation (SIGIR'20)
- Inter-sequence Enhanced Framework for Personalized Sequential Recommendation (AAAI'20)
- DGTN: Dual-channel Graph Transition Network for Session-based Recommendation (arxiv'20)
- Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation (CIKM'20)
- STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation (CIKM'20)
- Fi-gnn: Modeling feature interactions via graph neural networks for ctr prediction (CIKM'19)
- Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks
- Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks (CIKM'20)
- Cross-Domain Recommendation via Preference Propagation GraphNet (CIKM'19)
- Dressing as a whole: Outfit compatibility learning based on node-wise graph neural networks (WWW'19)
- Bundle Recommendation with Graph Convolutional Networks (SIGIR'20)
- Basket Recommendation with Multi-Intent Translation Graph Neural Network (arxiv'20)
- Hierarchical Fashion Graph Network for Personalized Outfit Recommendation (SIGIR'20)
- GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation (SIGIR'20)
- Group-Aware Long-and Short-Term Graph Representation Learning for Sequential Group Recommendation (SIGIR'20)
- Set-Sequence-Graph - A Multi-View Approach Towards Exploiting Reviews for Recommendation (CIKM'20)
- Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items (CIKM'20)
- Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation (KDD'19)
- Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce (KDD'20)
- GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation (SIGIR'20)
- Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation (RecSys'19)